Instructions to use PhilSad/phil-lora-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PhilSad/phil-lora-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PhilSad/phil-lora-2") prompt = "a photo of sks man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- c0a5ceb4efde2bf9b26e60882acc0228dcff5f4a5ca14103a80f94e33b07df06
- Size of remote file:
- 1.26 MB
- SHA256:
- ec754c843ad5c38b6979a4249fceadc39cecd7a92123dd037901935e38107dc2
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